Extraction des pièces d'un plan d'habitation
Identifieur interne : 002E56 ( Main/Merge ); précédent : 002E55; suivant : 002E57Extraction des pièces d'un plan d'habitation
Auteurs : Hervé Locteau [France] ; Sébastien Macé [Espagne] ; Salvatore Tabbone [France] ; Ernest Valveny [Espagne]Source :
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Abstract
In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.
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Campus UAB - 08193 Bellaterra (Cerdanyola) - Barcelona, Spain</addrLine><country key="ES"></country></address><ref type="url">http://www.cvc.uab.es/</ref></desc><listRelation><relation active="#struct-98227" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-98227" type="direct"><org type="institution" xml:id="struct-98227" status="VALID"><orgName>Universitat Autònoma de Barcelona [Barcelona]</orgName><orgName type="acronym">UAB</orgName><desc><address><addrLine>UAB Campus 08193 Bellaterra Barcelona</addrLine><country key="ES"></country></address><ref type="url">http://www.uab.es/english/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>Espagne</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Approximate Convex Decomposition</term><term>Architectural Floor Plan</term><term>Document Image Analysis</term><term>Line Detection</term><term>Reingineering</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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